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Data Science Insurance Jobs in Wisconsin (NOW HIRING)

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

... insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a ... You will work on a skilled team of passionate data scientists and meteorologists. Examples of ...

Innovizant LLC

Spark Expert (Direct Client)

Madison, WI · On-site

... data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ... insurance, wellness programs and financial education resources, to name a few. Elevance Health ...

Kwik Trip, Inc.

$66.54 - $99.80/hr

  • Medical

  • Retirement

  • PTO

... insurance, 401k, paid time off, and more. *This position is not eligible for sponsorship Data ... Bachelor's degree in computer science, data science, or a related field, or equivalent experience.

New

Wisconsin

Clinical Research Data Specialist

Madison, WI · On-site

$62K/yr

  • Retirement

  • PTO

Implements data analysis steps in collaboration with data scientists, statisticians, and/or other ... insurances and savings accounts; retirement benefits. For more information, refer to the campus ...

Belfius Bank SA/NV

WI · On-site

$97.05 - $125.60/hr

Het Data Insights-team van Belfius Insurance is op zoek naar een Senior Data Expert. Ben je ... Je hebt een masterdiploma (bijvoorbeeld economie, statistiek, data science, handelsingenieur, enz ...

New

Schneider National

AI & Machine Learning Engineer

Green Bay, WI · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The AI & Machine Learning Engineer will work closely with senior engineers and data scientists to ... Company paid life insurance. * 401(k) savings plan with company match. * Paid time off and paid ...

Stem Xpert

Oracle Business Analyst

Milwaukee, WI

$59 - $81.50/hr

... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ...

Bellin

Accountable Care Data Analyst

Green Bay, WI · On-site

  • Medical

  • Retirement

  • PTO

Bachelor's degree in field of healthcare, public/population health, statistics, data science, or ... Top-notch benefits: 401(k) with matching, paid time off, competitive health insurance, wellness ...

Jobtailor

Corporate Controller - Insurance

Madison, WI · On-site

$90 - $140/hr

Translate financial data into actionable insight for underwriting, data science, and operations ... Prior experience working in the insurance industry required * Bachelor's degree in Accounting ...

New

Rural Mutual Insurance

Actuarial Analyst

Madison, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Description Join Rural Mutual Insurance's Actuarial team and help drive data-informed decisions ... Responsibilities $47 Qualifications • Bachelor's degree in Actuarial Science, Mathematics ...

Stem Xpert

SAP finance Project manager

Racine, WI

... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ...

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Showing results 41-60

All JobsData Science Insurance JobsData Science Insurance Jobs in Wisconsin

Data Science Insurance information

See Wisconsin salary details

$21K

$99K

$186.7K

How much do data science insurance jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science insurance in Wisconsin is $98,989.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,482.00 and $140,622.00 per year, depending on experience, location, and employer.

What is a data science insurance?

A Data Science Insurance job involves using data analytics, machine learning, and statistical modeling to assess risks, detect fraud, optimize pricing, and enhance customer experience in the insurance industry. Professionals in this role analyze large datasets to identify patterns and trends that help insurers make data-driven decisions. They work with actuarial teams, underwriters, and claims departments to improve risk assessment and operational efficiency. This role requires expertise in programming languages like Python or R, as well as proficiency in data visualization, predictive modeling, and big data processing.

What are the key skills and qualifications needed to thrive in data science insurance?

To thrive in Data Science Insurance, you need strong analytical skills, proficiency in statistical modeling, and a solid foundation in mathematics and insurance principles, often supported by a degree in data science or actuarial science. Experience with programming languages like Python or R, data visualization tools, and knowledge of insurance-specific software or relevant certifications like ACAS or CSPA are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills are essential for translating complex data into actionable insights for diverse teams. These competencies enable professionals to accurately assess risk, improve decision-making, and drive innovation within insurance organizations.

What are some common challenges faced by data scientists working in the insurance industry?

Data scientists in the insurance sector often encounter challenges like working with large, complex, and sometimes incomplete datasets, as well as navigating strict regulatory frameworks. Balancing the need for highly accurate predictive models with the business's risk appetite and operational constraints is a key aspect of the job. Additionally, there's a strong emphasis on explaining complex analytical findings to non-technical stakeholders such as underwriters, actuaries, or business managers. These challenges foster collaborative problem-solving and help data science professionals sharpen both their technical and communication skills in a real-world environment.

What are the most commonly searched types of Data Science Insurance jobs in Wisconsin?

The most popular types of Data Science Insurance jobs in Wisconsin are:

What are popular job titles related to Data Science Insurance jobs in Wisconsin?

For Data Science Insurance jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Science Insurance jobs in Wisconsin look for?

The top searched job categories for Data Science Insurance jobs in Wisconsin are:

Data Science Insurance jobs near you
Infographic showing various Data Science Insurance job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $98,989 per year, or $47.6 per hour.

Senior Data Scientist

The Weather Channel

Madison, WI • On-site

Full-time

Re-posted 19 days ago

Job description

Company Description

The Weather Company provides the best weather insight in the world, and is leading the charge in the growing area of weather decision support for business. We are offering you a unique opportunity to apply and/or develop your mathematical modeling skills on our unique set of weather data. Working with weather data is really unique and amazing; weather is in perpetual evolution, generates petabytes of new data every month, and deeply impacts people and businesses on various timescales. We serve a wide variety of businesses including renewable energies, energy traders, utility companies, insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling.

Job Description

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the realm of predicting weather's impact on business. You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in Arizona, to predicting how much ice cream is going to be sold next week in Chicago.

  • Partner collaboratively with the business and project teams to accomplish tasks/milestones/goals.

  • Research, recommend, and implement statistical post process correction techniques using proprietary forecasts.

  • Demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, etc.

  • Improve operations by conducting systems analysis; recommending changes in policy and procedures.

  • Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required.

  • Continuously build your knowledge by studying new scientific methodologies and techniques.

  • Play an active role in the product requirements process, giving feedback to product management when challenges arise.

Qualifications

  • MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline.

  • 3-5 years of relevant professional experience, with demonstrated achievements.

  • Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc.

  • Experience using/implementing non-parametric regression such as  Neural Net, SVM, Random Forest, Projection Pursuit, MARS, Radial Basis Functions, AdaBoost, GLM

  • Experience in Predictive Modeling including Non-Parametric Regression, Bayesian Inference, Hidden Markov Models, Generalized ARMA, or Kalman Filtering is a plus.

  • Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based Modeling, Particle Swarm, Bee Colony is a plus but not necessary.

  • Knowledge of ensemble learning techniques and probabilistic forecasts is a plus.

  • Programming capabilities including C++, Java, Python is a plus but not necessary.

Additional Information


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